Polar Coding Relaxation for Lower-Complexity Channel Decoding
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Solution Overview
Problem
Modern communication systems face challenges in achieving high data rates and reliability due to interference and computational complexities, necessitating a capacity-achieving source and channel coding mechanism that can efficiently process and transmit data across mobile communication channels.
Innovation Solution
A computing system employing a relaxed coding profile with a polar-processing range to control the polar processing mechanism, determining an error measure and calculating a relaxation range based on target error, communication rate, and polar code length to generate a relaxed coding profile for a relaxed communication mechanism, which limits channel polarization and processing to enhance data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full channel polarization processing is applied to achieve capacity-achieving data transmission, then data transmission reliability is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial polarization processing instead of complete polarization. The system determines a relaxed coding profile with a polar-processing range that limits the polarization level to a subset of the full processing range, achieving sufficient reliability while reducing computational complexity by avoiding excessive polarization operations
Solution Approach 2:
The system changes the polarization parameter by introducing a relaxed coding profile that adjusts the polar-processing range. This parameter modification allows the system to operate at an optimized polarization level that balances reliability requirements with computational constraints, rather than using fixed full-polarization processing
2Reliability
If full channel polarization processing is applied to achieve capacity-achieving data transmission, then error correction capability is improved, but power consumption increases
Solution Approach 1:
The system performs partial polarization processing within a relaxed coding profile instead of complete polarization. This reduces the number of processing operations required, thereby lowering power consumption while maintaining sufficient error correction capability for the given communication conditions
3Device complexity
If relaxed coding profile with limited polar-processing range is used, then computational complexity is reduced, but data transmission rate may be affected
Solution Approach 1:
The system dynamically adjusts the polar-processing range based on communication conditions, error measures, and relaxation ranges. This dynamic adaptation allows the system to optimize the balance between computational complexity and data transmission rate, increasing processing range when rate is constrained and reducing it when complexity is the bottleneck
4Device complexity
If relaxed coding profile is used to reduce computational complexity, then hardware implementation is simplified, but manufacturing precision requirements may change
Solution Approach 1:
The system performs preliminary determination of the relaxed coding profile, polar-processing range, and relaxation range before actual data transmission. This advance configuration establishes precise parameters that simplify hardware implementation while ensuring manufacturing precision requirements are met through pre-calculated optimal settings
Data Source
AI summary
A computing system includes: a communication unit configured to: determine a relaxed coding profile including a polar-processing range for processing content data over a bit channel; process the content data based on a total polarization level being within the polar-processing range, the polar-processing range for controlling a polar processing mechanism or a portion therein corresponding to the bit channel for the content data; and an inter-device interface, coupled to the communication unit, configured to communicate the content data.